Research Article
Research on the Feature Selection of Rolling Bearings’ Degradation Features
Table 2
The time domain features and their similarity indexes of Case I and Case II based on RMS.
| Names | Similarity indexes of Case I | Similarity indexes of Case II | Names | Similarity indexes of Case I | Similarity indexes of Case II | DFD | CI (%) | DFD | CI (%) | DFD | CI (%) | DFD | CI (%) |
| | 0.6728 | 0.81 | 0.9921 | 0.71 | | 0.2197 | 98.47 | 0.1686 | 99.71 | | 0 | 1 | 0 | 1 | | 0.1479 | 99.08 | 0.1091 | 99.93 | | 0.5084 | 82.18 | 0.6983 | 86.09 | | 0.5291 | 80.55 | 0.5278 | 80.38 | | 0.2257 | 98.57 | 0.1286 | 99.89 | | 0.2369 | 98.07 | 0.5278 | 80.38 | | 0.2171 | 98.68 | 0.2807 | 99.22 | | 0.2033 | 91.24 | 0.2290 | 85.91 | | 0.4429 | 18.84 | 0.4999 | 85.98 | | 0.8181 | 6.82 | 0.9877 | 50.30 | | 0.7190 | 94.20 | 0.9983 | 81.34 | | 0.6013 | 6.12 | 0.9877 | 51.80 | | 0.5527 | 24.95 | 0.8647 | 1.00 | | 0.4399 | 95.93 | 0.9759 | 90.58 |
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Note: is a signal series for is the number of the data points. |